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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Apex Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Apex Future Labs is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI & Future Systems Architect to lead our research and development initiatives. You will be at the forefront of defining the infrastructure that powers our next-generation generative models and autonomous systems. If you are passionate about building scalable, ethical, and revolutionary AI solutions, we want to hear from you.

Responsibilities

  • Architect Future-Ready Systems: Design and deploy scalable AI infrastructure capable of handling high-volume generative tasks and complex neural network operations.
  • Lead R&D Initiatives: Spearhead research into next-generation machine learning paradigms, focusing on efficiency, interpretability, and reduced carbon footprint.
  • Technical Roadmap Strategy: Collaborate with executive leadership to define the technical vision and roadmap for 2026 and beyond.
  • Model Optimization: Oversee the fine-tuning and optimization of Large Language Models (LLMs) to ensure latency and accuracy meet enterprise standards.
  • Cross-Functional Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Implement robust security protocols to ensure data privacy and adherence to emerging AI regulatory standards.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture and system design.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, Apache Spark).
  • Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
  • Problem Solving: Proven track record of solving complex technical challenges in high-pressure environments.
  • Communication: Excellent ability to translate complex technical concepts into strategic business value for stakeholders.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python PyTorch Kubernetes AWS MLOps Generative AI

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